+1. My position on that list doesn't reflect the amount of code I have contributed: it over estimates it compared to people who have made large pull requests and squashed. It also doesn't account at all for any reviewing.
Sent from my phone. Please forgive brevity and mis spelling On Nov 6, 2015, 15:16, at 15:16, Andreas Mueller <t3k...@gmail.com> wrote: >We can reintroduce the list of contributors but I wasn't convinced it >send >a good message, as it emphasizes a particular metric. Squashing commits >basically kills your number of commits, so good practices are punished. >Also, or doesn't count reviews, which are at least as important as >code. >The changelog still names the authors next to the commits. >If the consensus is that it is valuable we can add it back in / keep >doing >it for the future. >On Nov 6, 2015 04:05, "Mathieu Blondel" <math...@mblondel.org> wrote: > >> It's a pity that people who contributed to the release are not listed >> anymore. >> >> Of course, congrats to everyone involved and in particular to our >release >> managers :) >> >> M. >> >> On Fri, Nov 6, 2015 at 9:45 AM, Andreas Mueller <t3k...@gmail.com> >wrote: >> >>> Hey everybody. >>> >>> I'm happy to announce the release of scikit-learn 0.17. >>> A big thank you to everybody who contributed. >>> >>> Highlights of the release include: >>> >>> - Latent Dirichlet Allocation via Online Variational Inference >>> - A Stochastic Average Gradient solver for LogisticRegression and >>> RidgeRegression >>> - A Coordinate Descent solver for NMF (which is much faster!) >>> - The Barnes-Hut approximation for T-SNE (much faster!) >>> - Many new cross-validation strategies and preprocessing >transformers >>> - Speed improvements to the tree-based models >>> - and so much more... >>> >>> Read the full change-log here: >>> http://scikit-learn.org/stable/whats_new.html >>> >>> An important API change is that we deprecated support for X being a >1d >>> array. >>> Please make sure that X is always (n_features, n_samples), even if >one >>> of them is one. >>> >>> >>> The new version is available via pip and conda: >>> >>> $ pip install --update scikit-learn >>> >>> or >>> >>> $ conda update scikit-learn >>> >>> Please don't update a (ana)conda installation using pip, as that >might >>> lead to problems. >>> Let us know any issues you have on the issue tracker: >>> https://github.com/scikit-learn/scikit-learn/issues >>> >>> Happy learning! >>> >>> Andy >>> >>> >>> >------------------------------------------------------------------------------ >>> _______________________________________________ >>> Scikit-learn-general mailing list >>> Scikit-learn-general@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >>> >> >> >> >> >------------------------------------------------------------------------------ >> >> _______________________________________________ >> Scikit-learn-general mailing list >> Scikit-learn-general@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> >> > > >------------------------------------------------------------------------ > >------------------------------------------------------------------------------ > > >------------------------------------------------------------------------ > >_______________________________________________ >Scikit-learn-general mailing list >Scikit-learn-general@lists.sourceforge.net >https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
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